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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-20 18:13:58</p>
            <p>spark.kmedoids.eval.fish.TestCase : -d fish-timeseries-0 -r Dropbox/eurecom-cluster/results/ -s 600000 -s 1200000 -s 1800000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.fish.ClaransTest</li>
                                    <li>spark.kmedoids.eval.fish.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.fish.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100495-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3899.9331684964773</td>
                                                <td>58005</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3640.0347635396656</td>
                                                <td>64559</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3836.2061443776774</td>
                                                <td>62293</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3873.6594723583544</td>
                                                <td>54103</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3453.4686182745913</td>
                                                <td>52590</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3836.1242827409637</td>
                                                <td>64642</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3747.5257471647683</td>
                                                <td>65063</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3350.0698429863164</td>
                                                <td>60639</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3670.8737334451366</td>
                                                <td>47846</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3802.7744813705913</td>
                                                <td>57726</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3586.12329116435</td>
                                                <td>59315</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3733.0646241261993</td>
                                                <td>60898</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3732.672526376173</td>
                                                <td>60508</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3785.763817630615</td>
                                                <td>49610</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3594.7786805989654</td>
                                                <td>60184</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3684.9516421150483</td>
                                                <td>59658</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3731.587234559714</td>
                                                <td>56687</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3653.950255755998</td>
                                                <td>48106</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3445.0294251248297</td>
                                                <td>46074</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>600000.0</td>
                                                    <td>3578.12422465685</td>
                                                <td>45585</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3669.1681951048567</td>
                                                <td>106442</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3754.6233494670787</td>
                                                <td>96602</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3915.9510052096207</td>
                                                <td>106523</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3652.818911707635</td>
                                                <td>91324</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3884.5144462864737</td>
                                                <td>95547</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3791.6556399129545</td>
                                                <td>110825</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3793.168582939371</td>
                                                <td>108842</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3814.0501873459134</td>
                                                <td>99244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3559.529101778338</td>
                                                <td>99364</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3906.8936399507747</td>
                                                <td>106398</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3992.0124983064843</td>
                                                <td>112385</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3857.5022721674873</td>
                                                <td>106242</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3866.9104687487015</td>
                                                <td>99118</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3848.758754739742</td>
                                                <td>95963</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3947.8393525908205</td>
                                                <td>109742</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3880.803633791261</td>
                                                <td>99675</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3703.5229120972285</td>
                                                <td>109604</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3701.4707651932677</td>
                                                <td>112062</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3762.3752487562715</td>
                                                <td>81201</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1200000.0</td>
                                                    <td>3702.7336260084385</td>
                                                <td>82003</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3817.1078618847973</td>
                                                <td>147958</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3889.482432595577</td>
                                                <td>132580</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3928.3664859129144</td>
                                                <td>137136</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3866.005561718126</td>
                                                <td>144760</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3971.9263110186903</td>
                                                <td>158244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3846.855492454745</td>
                                                <td>166762</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3982.3086617446183</td>
                                                <td>151537</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3880.119575582913</td>
                                                <td>142161</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3904.182710728032</td>
                                                <td>164184</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3834.4161791399206</td>
                                                <td>162703</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3630.323533242479</td>
                                                <td>165012</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3942.749355871788</td>
                                                <td>159646</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3872.7013610588124</td>
                                                <td>151815</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3878.950611126057</td>
                                                <td>154929</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3861.9343648790095</td>
                                                <td>146846</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3736.609490386909</td>
                                                <td>154651</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3741.7577209518718</td>
                                                <td>123866</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3823.944683495434</td>
                                                <td>113172</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3790.6813487142767</td>
                                                <td>112938</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1800000.0</td>
                                                    <td>3714.363625285267</td>
                                                <td>116171</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3621.2490053442502</td>
                                                <td>58677</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3801.4071385424268</td>
                                                <td>60279</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3702.941288564997</td>
                                                <td>56887</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3729.085229967604</td>
                                                <td>57812</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3818.3891427378753</td>
                                                <td>61870</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3475.9180705286403</td>
                                                <td>61032</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3631.0470793010318</td>
                                                <td>61903</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3658.153636432538</td>
                                                <td>52189</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3878.351339284503</td>
                                                <td>52597</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3559.8528200374694</td>
                                                <td>59344</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3630.039213717829</td>
                                                <td>59367</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3598.290053192429</td>
                                                <td>57829</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3754.9879710030145</td>
                                                <td>61297</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3650.5893698143705</td>
                                                <td>58724</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3739.178884421949</td>
                                                <td>61478</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3698.599288100258</td>
                                                <td>51062</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3695.568677321533</td>
                                                <td>46786</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3500.3708353303045</td>
                                                <td>50119</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3798.4531773176022</td>
                                                <td>46895</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>600000.0</td>
                                                    <td>3623.1449534381013</td>
                                                <td>43983</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1200000.0</td>
                                                    <td>3639.4100446731677</td>
                                                <td>112344</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1200000.0</td>
                                                    <td>3885.4333584510405</td>
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                                                    <td>3883.113049363361</td>
                                                <td>170409</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3891.9362338430083</td>
                                                <td>148144</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3695.9513333977757</td>
                                                <td>158997</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3819.8617706757195</td>
                                                <td>119108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3858.972052450609</td>
                                                <td>121996</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3890.2798592587633</td>
                                                <td>110805</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1800000.0</td>
                                                    <td>3758.9329494637823</td>
                                                <td>112553</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>600000.0</td>
                            <td>mean</td>
                                                            <td>3681.8357988431644</td>
                                                        <td>56704.55</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>600000.0</td>
                            <td>std dev</td>
                                                            <td>148.3013400183915</td>
                                                        <td>6352.753298456712</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>600000.0</td>
                            <td>low</td>
                                                            <td>3612.428635223178</td>
                                                        <td>53731.36993589059</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>600000.0</td>
                            <td>high</td>
                                                            <td>3751.242962463151</td>
                                                        <td>59677.73006410942</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1200000.0</td>
                            <td>mean</td>
                                                            <td>3800.315129605136</td>
                                                        <td>101455.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1200000.0</td>
                            <td>std dev</td>
                                                            <td>111.51999353284764</td>
                                                        <td>9191.165341038957</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1200000.0</td>
                            <td>low</td>
                                                            <td>3748.122166027907</td>
                                                        <td>97153.70220860631</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1200000.0</td>
                            <td>high</td>
                                                            <td>3852.508093182365</td>
                                                        <td>105756.8977913937</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1800000.0</td>
                            <td>mean</td>
                                                            <td>3845.7393683896125</td>
                                                        <td>145353.55000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1800000.0</td>
                            <td>std dev</td>
                                                            <td>89.04972114658435</td>
                                                        <td>17440.008013865256</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1800000.0</td>
                            <td>low</td>
                                                            <td>3804.0628160053343</td>
                                                        <td>137191.3750014322</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1800000.0</td>
                            <td>high</td>
                                                            <td>3887.415920773891</td>
                                                        <td>153515.72499856784</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>600000.0</td>
                            <td>mean</td>
                                                            <td>3678.280858719936</td>
                                                        <td>56006.49999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>600000.0</td>
                            <td>std dev</td>
                                                            <td>104.58003436652402</td>
                                                        <td>5679.145372139608</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>600000.0</td>
                            <td>low</td>
                                                            <td>3629.3358960125124</td>
                                                        <td>53348.578149685636</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>600000.0</td>
                            <td>high</td>
                                                            <td>3727.2258214273597</td>
                                                        <td>58664.42185031435</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1200000.0</td>
                            <td>mean</td>
                                                            <td>3769.9133729331793</td>
                                                        <td>99882.95000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1200000.0</td>
                            <td>std dev</td>
                                                            <td>99.4993889601292</td>
                                                        <td>12487.188506098651</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1200000.0</td>
                            <td>low</td>
                                                            <td>3723.3462254698597</td>
                                                        <td>94038.7658834646</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1200000.0</td>
                            <td>high</td>
                                                            <td>3816.480520396499</td>
                                                        <td>105727.13411653545</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1800000.0</td>
                            <td>mean</td>
                                                            <td>3806.5607259950866</td>
                                                        <td>143164.34999999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1800000.0</td>
                            <td>std dev</td>
                                                            <td>97.2660130572098</td>
                                                        <td>16250.17979908626</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1800000.0</td>
                            <td>low</td>
                                                            <td>3761.0388306292843</td>
                                                        <td>135559.03174711362</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1800000.0</td>
                            <td>high</td>
                                                            <td>3852.082621360889</td>
                                                        <td>150769.66825288633</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>600000.0</td>
                            <td>mean</td>
                                                            <td>3716.9477142804562</td>
                                                        <td>56797.85</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>600000.0</td>
                            <td>std dev</td>
                                                            <td>124.2110488967113</td>
                                                        <td>6388.925016859458</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>600000.0</td>
                            <td>low</td>
                                                            <td>3658.8151539602663</td>
                                                        <td>53807.74105057314</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>600000.0</td>
                            <td>high</td>
                                                            <td>3775.080274600646</td>
                                                        <td>59787.95894942686</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1200000.0</td>
                            <td>mean</td>
                                                            <td>3741.4508730250277</td>
                                                        <td>96661.45000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1200000.0</td>
                            <td>std dev</td>
                                                            <td>123.86749513562951</td>
                                                        <td>11273.50275494664</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1200000.0</td>
                            <td>low</td>
                                                            <td>3683.4791008144034</td>
                                                        <td>91385.28829987031</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1200000.0</td>
                            <td>high</td>
                                                            <td>3799.422645235652</td>
                                                        <td>101937.61170012971</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1800000.0</td>
                            <td>mean</td>
                                                            <td>3861.904089821682</td>
                                                        <td>144855.25</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1800000.0</td>
                            <td>std dev</td>
                                                            <td>69.5967194960677</td>
                                                        <td>18007.204154463467</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1800000.0</td>
                            <td>low</td>
                                                            <td>3829.331822457956</td>
                                                        <td>136427.61903636644</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1800000.0</td>
                            <td>high</td>
                                                            <td>3894.4763571854082</td>
                                                        <td>153282.88096363356</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 600000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.9306990201332898</td>
                                                                            <td>0.4221609099659852</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.9306990201332898</td>
                                                                            <td>1.0</td>
                                                                            <td>0.2938040055853306</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.4221609099659852</td>
                                                                            <td>0.2938040055853306</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1200000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.3687833535906948</td>
                                                                            <td>0.12261600823180507</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.3687833535906948</td>
                                                                            <td>1.0</td>
                                                                            <td>0.4282548374588345</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.12261600823180507</td>
                                                                            <td>0.4282548374588345</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1800000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.04608206955586756</td>
                                                                            <td>0.19195101171129647</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.04608206955586756</td>
                                                                            <td>1.0</td>
                                                                            <td>0.5264751267498449</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.19195101171129647</td>
                                                                            <td>0.5264751267498449</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.fish.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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